Use LEFT and RIGHT arrow keys to navigate between flashcards;
Use UP and DOWN arrow keys to flip the card;
H to show hint;
A reads text to speech;
64 Cards in this Set
- Front
- Back
Inferential Statistics |
Tools used to make generalized inferences about a population from a sample.
|
|
t-test |
comparison of the means of 2 populations |
|
Matched Pairs t-test |
Used when 2 measurements are taken from each ps. (Usually used in before and after treatment conditions) |
|
Independent t-test |
Used when two different samples are collected and compared
|
|
F (ANOVA) |
(The P value is found from this) |
|
Post Hoc comparison |
Tells you where sign difference of the means from an ANOVA test was (assuming critical F value was met) |
|
Factorials |
|
|
Mixed |
|
|
Interactions |
|
|
Main Effects |
|
|
F Tables |
|
|
SS |
|
|
df |
|
|
MS |
|
|
F |
|
|
p |
|
|
Alpha levels |
|
|
Statistical Significance |
|
|
Type I Errors |
Rejecting Null when it shouldn't be Rejected False Positive |
|
Type II Errors |
Failing to reject H0 when it should be rejected (accepting the null)
Fals Negative
|
|
HeteroGeneity |
|
|
Homgeneity of variance |
|
|
Levene's Test |
|
|
Normal Distribution |
|
|
Degrees of freedom |
|
|
t-obtained |
|
|
t-critical values |
|
|
Laws of Parsimony |
|
|
Ceiling Effect |
|
|
Floor Effect |
|
|
Converging Series |
|
|
Single Blind |
|
|
Double Blind |
|
|
Demand Characteristics |
|
|
Non Experiments designs |
|
|
Quasi Experimental designs |
|
|
APA Format |
|
|
Abstract |
|
|
Introduction |
|
|
Methods |
|
|
Results |
|
|
Discussion |
|
|
References |
|
|
Quasi Time series |
|
|
Pre-Posttest |
|
|
Non experimental Posttest |
|
|
non experimental pre-posttest |
|
|
DV |
Variable being measured |
|
IV |
Manipulated Variable |
|
Nominal Data (Categorical) |
Name or Label (Men, Women) |
|
Ordinal (rank order) |
Interval not know (Gold, Silver, Bronze, 1st 2nd 3rd) |
|
Interval |
interval btw 60-70 s same as 70-80. NO ABSOLUTE ZERO [Parametric] |
|
Ratio |
Interval w/absolute zero (Best to measure stastical significance) |
|
Chi Square |
Oberserved Frequency is or isnt equal to the Expected occurence (100 coint tosses E- 50H:50T, O- 60H:40T) |
|
Spearman |
Ordinal Shows Correlation |
|
Pearson r |
interval and ratio data (-1 to 1) |
|
Reliabilty |
Consistent results |
|
Valid |
Accuracy in measure. Measure what it's supposed to measure |
|
Likert Scale |
Scale of agreement (1-7 usually) |
|
Descriptive Methods |
1. Observational 2. Case Study 3. Survey |
|
Observational |
2 types: 1. Naturalistic 2. Laboratory (+)Flexibility in where to study (-) Little Control |
|
Case Study |
In depth of 1+ individuals (+) Depth of information gathered (-) Lack of generalizabalility (-)Highly subj. |
|
Survey |
(+) Large groups Easy to administer (-) Wording of questions Dependent on Ps The sample truly representative |
|
Research process |
Identify a prob; Review Lit, generate hyp, Design/conduct exp, analyze, communicate results |